A fuzzy robust adaptive control design scheme is developed for a class of nonlinear systems represented by inputoutput
models with unknown nonlinear function and un-modeled dynamics. The control gain of the nonlinear system is also
uncertain. The control law and update laws are constructed by on-line approximating the unknown nonlinear functions. The
Lyapunov method based stability analysis shows that all the signals in the closed-loop are stable. Finally, simulation results
show the effectiveness of the proposed algorithm.